diff --git a/src/main.py b/src/main.py
index 8a03ffc..1988692 100644
--- a/src/main.py
+++ b/src/main.py
@@ -10,8 +10,15 @@ import argparse
 import imutils
 import time
 import cv2
-from utils import check_if_inside_the_boxes, is_it_the_same_obj, box_distance
+import pprint
+from utils import (
+    check_if_inside_the_boxes,
+    is_it_the_same_obj,
+    box_distance,
+    get_heading,
+)
 
+pp = pprint.PrettyPrinter(indent=2)
 # tracking
 OPENCV_OBJECT_TRACKERS = {"csrt": cv2.TrackerCSRT_create}
 # initialize OpenCV's special multi-object tracker
@@ -194,7 +201,7 @@ while True:
     # loop over the bounding boxes and draw then on the frame
     if success:
         obj_cnt = len(boxes)
-        print(f'obj_cnt: ', obj_cnt, boxes)
+        print(f"obj_cnt: ", obj_cnt, boxes)
         for idx in range(obj_cnt):
             box = boxes[idx]
             (x, y, w, h) = [int(v) for v in box]
@@ -205,12 +212,19 @@ while True:
             trackers[idx]["distance"] = curr_distance
             trackers[idx]["curr_position"] = [int(v) for v in box]
 
+            _heading = get_heading(_x, _y, x, y)
+
             STILL_DIST_PX = 2
             if last_distance < STILL_DIST_PX and curr_distance < STILL_DIST_PX:
                 trackers[idx]["still"] += 1
             else:
                 trackers[idx]["still"] = 0
 
+            if trackers[idx]["still"] == 0:
+                trackers[idx]["heading"] = [_heading] + trackers[idx]["heading"]
+
+            trackers[idx]["heading"] = trackers[idx]["heading"][:30]
+
             if trackers[idx]["still"] > 30 or x < 5 or x > 1250:
                 untracking.append(trackers[idx])
 
@@ -220,8 +234,12 @@ while True:
             # cv2.rectangle(frame, (startX, startY), (endX, endY), (0, 255, 0), 2)
             color = [int(c) for c in COLORS[0]]
             print(
-                f"{tk['id']} - {tk['type']} - centroid: {x}, {y} - distance: [stl:{tk['still']}] {last_distance:.3f} -> {curr_distance:.3f}"
+                f"[{tk['id']}-{tk['type']}] (x,y)=({x},{y})"
+                f" | still #{tk['still']} | distance:  "
+                f"{last_distance:.3f} -> {curr_distance:.3f}"
             )
+            _htxt = ",".join(trackers[idx]["heading"])
+            print(f" ------  heading: {_htxt}")
             cv2.putText(
                 frame,
                 f"{tk['id']} - {tk['type']}",
@@ -242,8 +260,8 @@ while True:
             (w, h) = (boxes[i][2], boxes[i][3])
 
             _class = LABELS[classIDs[i]]
-            _good = check_if_inside_the_boxes(x, y, w, h, _class)
-            if not _good:
+            found_at = check_if_inside_the_boxes(x, y, w, h, _class)
+            if not found_at:
                 continue
 
             # (1) check whether it's the same object as one in trackers
@@ -271,15 +289,17 @@ while True:
                     "id": tracker_counter,
                     "type": _class,
                     "curr_position": bbox,
-                    "direction": "",
+                    "heading": [],
+                    "first": found_at,
                     "distance": -1,
                     "last_position": bbox,
                     "still": 0,
                 }
                 tracker_counter += 1
                 trackers.append(t)
-                print(f'trackers ADD - now total #{len(trackers)}')
-                print(f" i -> {i} ({x},{y}), {w},{h} ({x + w},{y + h})")
+                print(f"trackers ADD - now total #{len(trackers)}")
+                pp.pprint(t)
+                # print(f" i -> {i} ({x},{y}), {w},{h} ({x + w},{y + h})")
 
         _what = ",".join([LABELS[c] for c in classIDs])
         print(f"[{_frame_count:08d}] :: {_what}")
diff --git a/src/utils.py b/src/utils.py
index 494ce90..1460201 100755
--- a/src/utils.py
+++ b/src/utils.py
@@ -6,9 +6,20 @@ AREAS = [
         ("id", 1),
         ("area", ((0, 40), (12, 129))),
         ("target", ["car", "bus", "motorbike"]),
+        ("next", [6]),
+    ],
+    [
+        ("id", 2),
+        ("area", ((85, 0), (222, 74))),
+        ("target", ["person", "bicycle"]),
+        ("next", [7]),
+    ],
+    [
+        ("id", 3),
+        ("area", ((38, 340), (99, 482))),
+        ("target", ["person", "wheelchair"]),
+        ("next", [5]),
     ],
-    [("id", 2), ("area", ((85, 0), (222, 74))), ("target", ["person", "bicycle"])],
-    [("id", 3), ("area", ((38, 340), (99, 482))), ("target", ["person", "wheelchair"])],
     [
         ("id", 4),
         ("area", ((106, 310), (164, 461))),
@@ -18,35 +29,57 @@ AREAS = [
         ("id", 5),
         ("area", ((286, 230), (441, 346))),
         ("target", ["person", "wheelchair"]),
+        ("next", [8]),
     ],
     [
         ("id", 6),
         ("area", ((421, 190), (555, 304))),
         ("target", ["car", "bus", "motorbike"]),
+        ("next", []),
     ],
     [
         ("id", 7),
         ("area", ((555, 170), (720, 295))),
         ("target", ["person", "wheelchair", "bicycle"]),
+        ("next", [4]),
     ],
     [
         ("id", 8),
         ("area", ((877, 224), (947, 334))),
         ("target", ["person", "wheelchair"]),
+        ("next", [7, 9, 5]),
     ],
     [
         ("id", 9),
         ("area", ((1047, 229), (112, 338))),
         ("target", ["person", "wheelchair"]),
+        ("next", [8]),
     ],
     [
         ("id", 10),
         ("area", ((1158, 200), (1230, 307))),
         ("target", ["person", "wheelchair"]),
+        ("next", [9]),
     ],
 ]
 
 
+def get_heading(x1, y1, x2, y2):
+    diff_x, diff_y = x2 - x1, y2 - y1
+    if diff_x > 0 and diff_y > 0:
+        return "NE"
+    if diff_x > 0 and diff_y == 0:
+        return "N"
+    if diff_x > 0:
+        return "NW"
+
+    if diff_y > 0:
+        return "SE"
+    if diff_y == 0:
+        return "S"
+    return "SW"
+
+
 def box_distance(pos1, pos2):
     x1, y1, w1, h1 = pos1
     x2, y2, w2, h2 = pos2
@@ -75,7 +108,8 @@ def check_if_inside_the_boxes(x, y, w, h, _type):
         # if diff_x < box_w
     if is_inside:
         print("INSIDE!! this -> ", box)
-    return is_inside
+        return box
+    return False
 
 
 def is_it_the_same_obj(x1, y1, w1, h1, i1, j1, w2, h2, **kwargs):